Software Engineer (Developer Productivity)
Job Description
Software Engineer (Developer Productivity)
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Salary: $250k-300k
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Total compensation: very flexible - dependent on seniority, expectations and performance
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I'm partnered with a leading high frequency trading firm hiring a Developer Productivity Engineer to build the tools and infrastructure that help engineers ship trading software faster and with more confidence.
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The role
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You’ll own the systems that sit between an engineer’s idea and production: build and test infrastructure, CI/CD, local environments and internal tooling. You’ll work directly with engineering teams across the firm, find where they lose time, and build platform-level fixes.
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A growing part of the job is bringing AI-assisted engineering into everyday workflows. That means integrating coding agents, automating routine fixes and evaluating new AI developer tools as they appear.
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What you’ll work on
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- AI workflows: agent skills and configs, auto-remediation of build failures, and measuring impact on developer velocity
- Build and test acceleration: distributed caching, profiling and flaky test quarantine
- CI/CD: deployment pipelines, merge queues and automated releases
- Self-service dev environments, CLI tools, service templates and IDE integrations
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What we’re looking for
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- Strong Python
- Working knowledge of C++/Java
- Strong Linux fundamentals
- Experience with developer tooling, CI/CD or large-scale build infrastructure
- Hands-on use of AI coding tools (e.g. Claude Code, Codex) in real engineering work. No model training experience needed.
- Clear communicator, collaborative and low-ego
- Degree in CS or a related field preferred, though strong professional experience is a good substitute
- Large, well-regarded tech company background is a strong fit, especially with quick promotions. Trading experience is a bonus.
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Seniority is flexible. Senior candidates should have deep, hands-on experience with AI-assisted engineering. Earlier-career candidates should be strong on engineering fundamentals and have some exposure to AI-assisted development.